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Sinho Chewi
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Year
Gradient descent algorithms for Bures-Wasserstein barycenters
S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory 2020 125, 1276-1304, 2020
362020
Exponential ergodicity of mirror-Langevin diffusions
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, A Stromme
Advances in Neural Information Processing Systems 33, 19573-19585, 2020
182020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet
Advances in Neural Information Processing Systems 33, 2098-2109, 2020
162020
Optimal dimension dependence of the Metropolis-adjusted Langevin algorithm
S Chewi, C Lu, K Ahn, X Cheng, T Le Gouic, P Rigollet
Conference on Learning Theory, 1260-1300, 2021
122021
Fast and smooth interpolation on Wasserstein space
S Chewi, J Clancy, T Le Gouic, P Rigollet, G Stepaniants, A Stromme
International Conference on Artificial Intelligence and Statistics, 3061-3069, 2021
102021
Efficient constrained sampling via the mirror-Langevin algorithm
K Ahn, S Chewi
Advances in Neural Information Processing Systems 34, 2021
82021
Dimension-free log-Sobolev inequalities for mixture distributions
HB Chen, S Chewi, J Niles-Weed
Journal of Functional Analysis 281 (11), 109236, 2021
52021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
J Altschuler, S Chewi, PR Gerber, A Stromme
Advances in Neural Information Processing Systems 34, 22132-22145, 2021
42021
Analysis of Langevin Monte Carlo from Poincaré to log-Sobolev
S Chewi, MA Erdogdu, MB Li, R Shen, M Zhang
arXiv preprint arXiv:2112.12662, 2021
32021
Rejection sampling from shape-constrained distributions in sublinear time
S Chewi, PR Gerber, C Lu, T Le Gouic, P Rigollet
International Conference on Artificial Intelligence and Statistics, 2249-2265, 2022
22022
Improved analysis for a proximal algorithm for sampling
Y Chen, S Chewi, A Salim, A Wibisono
arXiv preprint arXiv:2202.06386, 2022
22022
A combinatorial proof of a formula of Biane and Chapuy
S Chewi, V Anantharam
The Electronic Journal of Combinatorics 25 (1), 12, 2018
22018
Towards a theory of non-log-concave sampling: first-order stationarity guarantees for Langevin Monte Carlo
K Balasubramanian, S Chewi, MA Erdogdu, A Salim, M Zhang
arXiv preprint arXiv:2202.05214, 2022
12022
The entropic barrier is -self-concordant
S Chewi
arXiv preprint arXiv:2112.10947, 2021
12021
The query complexity of sampling from strongly log-concave distributions in one dimension
S Chewi, P Gerber, C Lu, TL Gouic, P Rigollet
arXiv preprint arXiv:2105.14163, 2021
12021
Matching observations to distributions: efficient estimation via sparsified Hungarian algorithm
S Chewi, F Yang, A Ghosh, A Parekh, K Ramchandran
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
12019
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities
S Chewi, AA Pooladian
arXiv preprint arXiv:2203.04954, 2022
2022
Gaussian discrepancy: a probabilistic relaxation of vector balancing
S Chewi, P Gerber, P Rigollet, P Turner
arXiv preprint arXiv:2109.08280, 2021
2021
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